Predictive Application Caching

1. A streaming media system, comprising: a cache memory; and one or more processors configured to: first determine a number of discrete user input events to select each element of a plurality of elements displayed in a graphical user interface based on a location of interest (LOI), wherein each element is associated with an application; second determine, based at least on the determined number of discrete user input events, a probability of each element displayed by the graphical user interface being selected for execution; generate, from the second determination, a list of applications associated with the elements having a greatest probability to be selected for execution; and load the applications on the list into the cache memory.

2. The streaming media system of claim 1 , wherein the cache memory comprises a source code application cache memory, and wherein the one or more processors are further configured to load the applications on the list by loading source code associated with the applications on the list into the source code application cache memory.

3. The streaming media system of claim 1 , wherein the cache memory comprises a byte code application cache memory, and wherein the one or more processors are further configured to load the applications on the list by loading byte code associated with the applications on the list into the byte code application cache memory.

4. The streaming media system of claim 1 , further comprising: an input memory configured to store input data, and wherein the one or more processors are further configured to: determine a rate of change of user input based on the stored input data in the input memory; and modify the probability associated with each element based on the determined rate of change of user input.

5. The streaming media system claim 1 , wherein the one or more processors are further configured to: generate the list of applications by grouping the plurality of elements by their associated applications; and aggregate, for each group, the probability of each element being selected for execution.

6. The streaming media system of claim 1 , further comprising: a usage history memory configured to store a history of application usage, and wherein the one or more processors are further configured to: determine the probability of each element based at least on the history of application usage stored in the usage history memory.

7. A method of predictive application caching, comprising: first determining a number of discrete user input events to select each element of a plurality of elements displayed in a graphical user interface based on a location of interest (LOI)), wherein each element is associated with an application; second determining, based at least on the determined number of discrete user input events, a probability of each element displayed by the graphical user interface being selected for execution; generating, from the second determination, a list of applications associated with the elements having the greatest probability to be selected for execution; and loading one or more applications on the list into a cache memory.

8. The method of claim 7 , further comprising: detecting the location of interest in the graphical user interface based at least on input data relating to one or more of the plurality of elements displayed in the graphical user interface.

9. The method of claim 7 , further comprising: calculating a weight for each of the applications on the list based at least on input data relating to one or more of the plurality of elements displayed in the graphical user interface.

10. The method of claim 9 , wherein the calculated weight is based at least on usage history data.

11. The method of claim 7 , wherein the loading the application into a memory comprises compiling the application from a first format to a second format.

12. The method of claim 7 , wherein the loading the application into a memory comprises: loading the application with the greatest probability into the cache memory.

13. The method of claim 7 , wherein the second determining comprises performing a statistical calculation based on the determined number of discrete user input events.

14. A predictive application cache system, comprising: a cache memory; and one or more processors configured to: receive graphical user interface data, wherein the graphical user interface data comprises a plurality of elements, and wherein each element is associated with an application; receive historical usage information relating to application usage; determine a number of discrete user input events to select each element in the graphical user interface based on a location of interest (LOI); select an application to be cached, based at least on the graphical user interface data, the determined number of discrete user input events, and the historical usage information; and load the determined application into the cache memory.

15. The system of claim 14 , wherein the historical usage information comprises crowd sourced data from one or more remote sources.

16. The system of claim 14 , wherein the one or more processors are further configured to select the application to be cached based on a probability that the application will be used.

17. The system of claim 14 , wherein the one or more processors are further configured to load the determined application into the cache memory by compiling source code associated with the determined application into bytecode, and storing the bytecode in the cache memory.

18. The streaming media system of claim 1 , further comprising: an input memory configured to store input data, and wherein the one or more processors are further configured to: determine a change of direction to user input based on the stored input data in the input memory; and modify the probability associated with each element based on the determined change of direction to user input.